ZIP code
94619
in Oakland, CaliforniaPopulation 26,831
62.96/ 100
Ranked #2,993 of 32,066 US ZIPs (top 9.4%)
Ranked #366 of 1,719 California ZIPs (top 21%)
Ranked #116 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 33%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Expected annual disaster loss
$1
in the top 2.1% nationally
Lower is healthier
ST87thUS98thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Park land
45.2%
in the top 2.9% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Loud transportation noise
3.3%
in the top 3.3% nationally
Lower is healthier
ST79thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Obesity
25.4%
in the bottom 6.2% nationally
Lower is healthier
ST28thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Humid extreme heat
7.5 days/year
in the bottom 4.8% nationally
Lower is healthier
ST11thUS5thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Median household income
$129,867
in the top 7.0% nationally
Higher is healthier
ST79thUS93rdDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Transit access
4 per 1,000 residents
in the top 7.3% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Hearing disability
4.9%
in the bottom 5.7% nationally
Lower is healthier
ST12thUS6thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Floodplain exposure
0.08%
in the bottom 7.5% nationally
Lower is healthier
ST16thUS7thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
ZIP 94619, one of several in Oakland, California, in overall standing, comes out in the top 9.4% healthiest ZIPs nationally (2,993rd) and the top 21% of California (366th).
A balanced showing across the data, with a few readings each side: park land settles in the top 2.9% nationally, modeled obesity lands in the bottom 6.2% nationally, and lead in tap water rests at the national minimum. Modeled humid heat settles in the bottom 4.8% nationally, household income lands in the top 7.0% nationally, and transit rests in the top 7.3% nationally. Modeled hearing disability settles in the bottom 5.7% nationally, and floodplain exposure lands in the bottom 7.5% nationally. On the other hand, modeled expected annual loss rests in the top 2.1% nationally, and loud transportation noise settles in the top 3.3% nationally.
Set within its surrounding area, expected annual loss runs far lower than the surrounding ZIPs on this measure. Defined simply, for reference, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. The closest healthier ZIP overall is ZIP 94516, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the San Francisco-Oakland-Fremont, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 77%
16%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Preventive Care
healthier than 42%
13%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 72%
16%
Environmental Hazard
healthier than 71%
14%
Preventive Care
healthier than 64%
13%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 71%
5%
Nothing measured is holding this score back.
Lifting this score
Climate / Disaster Risk
healthier than 98%
5%
Healthcare Access
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Environmental Hazard
healthier than 45%
14%
Preventive Care
healthier than 45%
13%
Holding it back
Social Need / SDOH
healthier than 28%
16%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 36%
7%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 79.4 ± 1.3 years. A median household income of $129,867 predicts 81.1 years — 1.7 years below.
Ranked #2,126 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 79.4 ± 1.3 years. The 47 nearest ZIP codes with estimates average 81.7 years — 2.3 years below them.
Ranked #1,798 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94516
Californiashares a border
Score 71.34
Closest healthier
94546
Californiashares a border
Score 63.13
Similar health profile
92056
California99% similar profile
Score 61.99
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 21.3% | 19.0–23.9 |
| High blood pressure among adults | 30.3% | 27.4–33.6 |
| Cancer (non-skin) or melanoma among adults | 6.4% | 5.9–7.1 |
| Current asthma among adults | 9.9% | 8.8–11.2 |
| Coronary heart disease among adults | 4.9% | 4.4–5.4 |
| Chronic obstructive pulmonary disease among adults | 4.4% | 4.0–5.0 |
| Depression among adults | 20.1% | 17.6–23.0 |
| Diagnosed diabetes among adults | 11.2% | 9.8–12.7 |
| High cholesterol among adults who have ever been screened | 33.3% | 30.1–36.8 |
| Obesity among adults | 25.4% | 21.5–30.0 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 7.4% | 6.0–9.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 6.0–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.9% | 68.7–75.0 |
| Visits to doctor for routine checkup within the past year among adults | 74.0% | 70.8–77.1 |
| Cholesterol screening among adults | 88.4% | 87.0–89.8 |
| Colorectal cancer screening among adults aged 45–75 years | 62.5% | 58.4–66.6 |
| Visited dentist or dental clinic in the past year among adults | 67.4% | 64.6–70.1 |
| Mammography use among women aged 50-74 years | 77.1% | 71.0–82.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.5–18.5 |
| Current cigarette smoking among adults | 9.8% | 8.4–11.2 |
| No leisure-time physical activity among adults | 20.1% | 17.3–23.2 |
| Short sleep duration among adults | 34.9% | 31.0–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.6% | 16.6–20.9 |
| Frequent mental distress among adults | 15.9% | 14.2–17.7 |
| Frequent physical distress among adults | 12.0% | 10.7–13.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 11.2–14.1 |
| Any disability among adults | 27.7% | 24.7–31.1 |
| Hearing disability among adults | 4.9% | 4.4–5.5 |
| Independent living disability among adults | 7.1% | 6.4–7.9 |
| Mobility disability among adults | 12.1% | 10.7–13.8 |
| Self-care disability among adults | 3.3% | 3.1–3.6 |
| Vision disability among adults | 4.6% | 4.2–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.0% | 23.9–30.3 |
| Food insecurity in the past 12 months among adults | 14.7% | 12.9–16.7 |
| Received food stamps in the past 12 months among adults | 13.4% | 11.8–15.3 |
| Housing insecurity in the past 12 months among adults | 12.8% | 11.3–14.6 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 7.2–9.1 |
| Loneliness among adults | 37.4% | 33.4–41.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.1–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 57.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 92.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 41.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 69.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 23.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 39.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 39.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $129,867 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,025,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,107 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.4 yr ± 0.64 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.64 years of 79.4, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured